--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: natural-language-inference results: - task: type: text-classification name: Text Classification dataset: name: glue type: glue config: mrpc split: train args: mrpc metrics: - type: accuracy value: 0.8284313725490197 name: Accuracy - type: f1 value: 0.8821548821548822 name: F1 - task: type: natural-language-inference name: Natural Language Inference dataset: name: glue type: glue config: mrpc split: validation metrics: - type: accuracy value: 0.8284313725490197 name: Accuracy verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2M5YTZkYzE2NWFiYmNiNjljMjEzOWFkMzUyNDNhZmY0YjVjZmVlYjYzYzVmYTQyOGRiOTkyM2ZlZjMyMDVjMSIsInZlcnNpb24iOjF9.UjLZUc4z71OQewLCeA3tNjUpiZ8RfoojFDZBbC1hAAGUu38PKHg9EjLLE9_xV_Q0UrlQZnU_1gCjisczRnuRBQ - type: precision value: 0.8317460317460318 name: Precision verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDUwN2JjZTgwYzI5MWJjYTY4ZjJmZmI1MzMyNzdkMmU3MzZmOGIzNDg1NjljYzQ3NDM4NDI3ZmJmN2E1ZGFlYyIsInZlcnNpb24iOjF9.2_97LjZNzaqr1Y_5KS3drJXod88tnR8nxueoykW5HyAjOZWyHUxWnVYCehp69uStMqZZdEoIcmEbUO-G9UtsBQ - type: recall value: 0.9390681003584229 name: Recall verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmY0YTA5OTJmNDA1ZWMwODFjM2ZjYTQ2NDk3YTVjMWVlODk3MDAwNGQ5NTIxMDNmNWNiZjVjZjNkMjZkMjRhNCIsInZlcnNpb24iOjF9.lzgiHn52oU5rfHt5nn6MCLD96EQ7v617tnyBQrvyXRRhNTbRnEahIw-HlgGwttBEvIuY3sdC-PO1_27_B4NRBg - type: auc value: 0.8847906421049706 name: AUC verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE0NmY0MzdjMWU4OTk3YzRjYzNmZDlmODY4ZTY2MTI3ODgyMGIwNTBkYTJlZjlmYmQwMWQ5YjZmYmRiNmVhMSIsInZlcnNpb24iOjF9.w9SJJidX_yNOl3OpJ06h8uwdD1AE-29wC6h3FkzAuOg9Je3zebrIpANRCeS7Dlx0XVAYgrPx0fHGpEmE6xycAQ - type: f1 value: 0.8821548821548822 name: F1 verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjRhNGQxYjZiMTNlNWNlZmNlMzI3YzMzNTZjYTM4ZmRlMmMwN2U2ODhhYjlkOTA2M2U5YTlhNWYzMzM1OGRiYSIsInZlcnNpb24iOjF9.mhZ9x1uP2duocbA1J5QwZ8KmjanY1bsyhS4jWXdr3Kmx6crIzTEie_7NxnoMhVvZSah-bnm9u2ZwncKevz38Dg - type: loss value: 0.4118819236755371 name: loss verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQyNzc3ZmIwMDZiY2IwNmM1NjlhNTUwOWI1OTcwOWQ0ZWQxMGNjOWFkNDkzYWVjNDcyYmNkZGJjOWIxYzg2ZiIsInZlcnNpb24iOjF9.0MSbwf_Ac8NLHAHueYvlqMpoIvn6PV0okEkJZOQyxmX0x1f8jqoIgyPciKNHxvzKJn_lyKbWmWGhbhrsDcebDQ --- # natural-language-inference This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. It achieves the following results on the evaluation set: - Loss: 0.4120 - Accuracy: 0.8284 - F1: 0.8822 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | No log | 1.0 | 230 | 0.4288 | 0.8039 | 0.8644 | | No log | 2.0 | 460 | 0.4120 | 0.8284 | 0.8822 | ### Framework versions - Transformers 4.21.1 - Pytorch 1.12.1+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1